Objective To analyze the spatial distribution patterns of the potential suitable habitats for Cremastrae Pseudobulbus Pleiones Pseudobulbus,including Cremastra appendiculata(D.Don)Makino,Pleione bulbocodioides(Franch.)Rolfe and Pleione yunnanensis Rolfe under current climatic conditions,and the factors influencing the spatial differentiation of their habitats.Methods Based on the maximum entropy(MaxEnt)model,a species distribution model was established using the screened species distribution data and environmental variable data.The factor detection and interaction detection of geographical detector were applied to quantify the factors influencing the spatial differentiation of the suitable areas.By overlaying the suitable areas with land cover types,the distribution characteristics of forest land and arable land in the potential suitable areas were quantified.Results Under the current climatic scenario,environmental variables such as solar radiation intensity,precipitation and temperature were closely related to the spatial distribution of Cremastrae Pseudobulbus Pleiones Pseudobulbus.The potential suitable areas for Cremastra appendiculata(D.Don)Makino,Pleione bulbocodioides(Franch.)Rolfe and Pleione yunnanensis Rolfe were 2.20×106 km2,2.75×106 km2 and 7.22×105 km2,respectively.Considering land cover types,the actual possible suitable areas for Cremastra appendiculata(D.Don)Makino,Pleione bulbocodioides(Franch.)Rolfe and Pleione yunnanensis Rolfe were 1.86×106 km2,2.20×106 km2 and 5.77×105 km2,respectively.Among these,the area of forest land was 1.17×106 km2,1.34×106 km2 and 3.67×105 km2,respectively,and the area of arable land was 6.95×105 km2,8.64×105 km2 and 2.10×105 km2,respectively.Conclusion This study can provide a basis for the protection and sustainable utilization of wild resources of the original plant materials of Cremastrae Pseudobulbus Pleiones Pseudobulbus.

Objective To investigate the spatial distribution pattern of the suitable habitats for Codonopsis pilosula(Franch.)Nannf.and the factors influencing the spatial differentiation of its habitat under current climatic conditions in China.Methods Based on maximum entropy(MaxEnt)model,a species distribution model was established with filtered species occurrence data and environmental variable data.The geographical detector was applied to quantify the factors influencing the spatial differentiation of the suitable areas,employing both factor detection and interaction detection functionalities.Additionally,an overlay analysis with land cover types was conducted to quantify the distribution characteristics of arable land and forest land within the potential suitable areas for Codonopsis pilosula(Franch.)Nannf..Results Based on the contribution rate of environmental factors and the Jackknife method,average solar radiation intensity in December,precipitation in July,and highest temperature in December were identified as key environmental factors affecting the suitability of Codonopsis pilosula(Franch.)Nannf.habitats,which were further validated by the geographical detector.The total suitable area for Codonopsis pilosula(Franch.)Nannf.in China under current climatic conditions was approximately 4.46×106 km2,with the areas of high,moderate,and low suitability being 1.08×106 km2,1.70×106 km2,and 1.68×106 km2,respectively.After overlaying with arable and forest lands,the potentially suitable total forest area for Codonopsis pilosula(Franch.)Nannf.was 1.55×106 km2,and the arable land area was 1.63×106 km2.Conclusion This study provides reference for the optimization of cultivation areas for Codonopsis pilosula(Franch.)Nannf.and the conservation of its wild resources.

Objective To analyze the spatial distribution pattern of the potential suitable habitats for Cordyceps under current climatic conditions in China based on space characteristics and biological traits;To explore the key environmental factors affecting the spatial differentiation of its habitats.Methods The Maximum Entropy model was utilized as a predictive tool to synthesize the distribution data of Cordyceps and its associated species Polygonum viviparum and Polygonum macrophyllum,along with environmental variable data.Factor detectors and interaction detectors of geographic detectors were used to conduct geographic exploration of spatial differentiation factors in the suitable habitats of Cordyceps.Furthermore,by overlaying the potential suitable habitats of Cordyceps with surface cover types and the suitable areas of Polygonum viviparum and Polygonum macrophyllum,the specific distribution range of the potential suitable habitats for Cordyceps was refined.Results Under the current climatic conditions,altitude,the precipitation amount of the warmest season,the highest temperature in February,and the precipitation in July are the key environmental factors influencing the distribution of Cordyceps.The potential suitable habitats for Cordyceps reaches 1.18×106 km2,and considering surface cover types,the actual potential suitable habitats for Cordyceps is 7.33×105 km2.Taking into account the associated relationships between species,the actual potential suitable habitats for Cordyceps is 7.27×105 km2.Conclusion The results of this study can reflect the ecological needs of Cordyceps,promote its sustainable utilization of resources,and provide reference for maintaining biodiversity and ecosystem integrity.

Objective To investigate the geographical distribution patterns and influencing factors of suitable habitats for the desert medicinal plant Cynomorium songaricum Rupr under current climatic conditions;To provide a basis for its resource conservation and sustainable utilization.Methods The MaxEnt model was used to analyze potential suitable habitats for Cynomorium songaricum Rupr.Geographical Detector model was used to identify key environmental factors affecting habitat suitability.Surface cover data were overlaid to assess the distribution of sandy and Gobi regions within suitable habitats,enabling a quantitative evaluation of actual potential suitable areas.Results Model predictions indicated a total suitable habitat area of approximately 2.98×106 km2,representing 30.99%of China's mainland area.Highly suitable habitats are concentrated in desert and Gobi regions of Gansu,Xinjiang,Inner Mongolia,Qinghai and Ningxia.Among climatic factors,precipitation of the coldest quarter(bio19),solar radiation in August(srad8),and mean temperature of the coldest quarter(bio11)significantly influence Cynomorium songaricum Rupr distribution.The interaction between temperature and solar radiation intensity exhibited the highest explanatory power for habitat distribution patterns(q=0.82).Overlay analysis with surface cover data estimated the actual potential suitable area at approximately 9.70×105 km2,with sandy regions comprising 5.73×105 km2 and Gobi regions 3.98×105 km2.Conclusion By integrating multi-source data and modeling approaches,this study delineates the potential suitable habitats for Cynomorium songaricum Rupr across China and evaluates the spatial distribution characteristics and influencing factors of suitable habitats in Cynomorium songaricum Rupr.These findings offer a foundation for conserving wild Cynomorium songaricum Rupr resources,optimizing ecological planting regions,and promoting sustainable industry development.

Objective To analyze the spatial distribution pattern of potential suitable habitats and the influencing factors of habitat spatial differentiation of Gastrodiae Rhizoma under current climate conditions.Methods Based on 137 distribution records of Gastrodiae Rhizoma sourced from the Global Biodiversity Information Facility and 104 environmental variables acquired from the WorldClim dataset,a predictive model for the potential suitable habitat of Gastrodiae Rhizoma was developed using the MaxEnt model.The geodetector was applied to quantitatively analyze the environmental factors influencing the spatial heterogeneity of the suitable habitats.Subsequently,an overlay analysis with land cover types was conducted to obtain the distribution characteristics of forest land and cultivated land in the potential suitable habitats.Results Under current climate conditions,key environmental factors affecting the distribution of Gastrodiae Rhizoma included precipitation in July,average temperature in the coldest quarter,precipitation in the warmest quarter,water vapor pressure in September,altitude,and solar radiation in December.The potential geographical distribution range of Gastrodiae Rhizoma was 1.64×106 km2.Considering land cover types,the actual potential suitable area for Gastrodiae Rhizoma was 1.33×106 km2,of which the forest land area was 8.56×105 km2 and the cultivated land area was 4.74×105 km2.The highly suitable forest areas were mainly located within the provinces of Guizhou,Sichuan,Shaanxi,Hubei,Hunan and Gansu.The cultivated land suitable areas are mainly located within the provinces of Guizhou,Sichuan,Yunnan,Shaanxi and Hubei.Conclusion The highly suitable habitats of Gastrodiae Rhizoma are mainly located in provinces such as Guizhou,Sichuan,Shaanxi and Hubei,and are affected by factors such as solar radiation,water vapor pressure,temperature and precipitation.The research results can provide reference for the protection of wild Gastrodiae Rhizoma resources,artificial nurturing and optimal selection of ecological planting areas.

ObjectiveTo investigate the association between neutrophil-to-lymphocyte and platelet ratio （NLPR） and recompensation in patients with hepatitis B cirrhotic ascites， and to establish an individualized risk prediction model. MethodsThe patients with hepatitis B cirrhotic ascites who were hospitalized in Department of Gastroenterology， The General Hospital of Western Theater Command of Chinese PLA， from January 2015 to December 2022 were enrolled. General information and laboratory markers were collected， and NLPR was calculated. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test or the chi-square test with correction was used for comparison of categorical data between two groups. The subjects were randomly divided into a training set and a validation set at a ratio of 7∶3. In the training set， univariate and multivariate binary Logistic regression analyses were used to investigate the independent influencing factors for recompensation in patients with hepatitis B cirrhotic ascites， and a nomogram was established； the receiver operating characteristic （ROC） curve was used to assess the value of the new model in predicting recompensation in patients with hepatitis B cirrhotic ascites， and the Delong test was used for comparison of the area under the ROC curve （AUC）. The calibration curve and the decision curve were plotted for the model， and the model was assessed in terms of degree of fitting and predictive benefits. ResultsA total of 360 patients were enrolled， among whom134 achieved recompensation. There were 252 patients in the training set and 108 patients in the validation set， and there were no significant differences in baseline characteristics between the two groups （all P>0.05）. The Logistic regression analysis showed that the onset of hepatic encephalopathy （odds ratio ［OR］=0.066， 95% confidence interval ［CI］： 0.008 — 0.545， P=0.012）， NLPR （OR=0.950， 95%CI： 0.912 — 0.989， P=0.012）， alpha-fetoprotein （OR=1.012， 95%CI： 1.005 — 1.020， P<0.001）， and albumin （OR=1.096， 95%CI： 1.031 — 1.166， P=0.003） were independent influencing factors for recompensation in patients with hepatitis B cirrhotic ascites. The above four factors were included in a nomogram predictive model， which had an AUC of 0.776， a sensitivity of 66.5%， and a specificity of 76.3% in the training set and an AUC of 0.746， a sensitivity of 63.4%， and a specificity of 75.7% in the validation set， while Model for End-Stage Liver Disease score， Child-Pugh score， and albumin-bilirubin score had an AUC of 0.574， 0.628， and 0.621， respectively. The nomogram model had a better performance than the other three scores in predicting recompensation in patients with hepatitis B cirrhotic ascites （Z=4.191， 3.369， and 3.527， P<0.001， P=0.001， and P<0.001）. The calibration curve and the decision curve showed that the model had a good degree of fitting， and the decision made using this model could bring net benefits. ConclusionNLPR has a good value in predicting recompensation in patients with hepatitis B cirrhotic ascites， and the nomogram model established can help to predict recompensation in such patients in clinical practice.

Objective To investigate the association of alpha-fetoprotein(AFP)and prealbumin(PAB)with the 90-day prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure(HBV-ACLF),as well as the difference in 90-day prognosis between the patients with different levels of AFP and PAB.Methods A total of 371 HBV-ACLF patients who were hospitalized in The General Hospital of Western Theater Command from January 2018 to January 2023 were enrolled,and according to the follow-up results on day 90 after discharge,they were divided into survival group with 216 patients and death group with 155 patients.The medical record system was used to collect general data,AFP,PAB,and other related laboratory markers.The t-test was used for comparison of normally distributed continuous data between two groups;a one-way analysis of variance was used for comparison between multiple groups,and the least significant difference t-test was used for comparison between two groups.The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups,and the Kruskal-Wallis H test was used for comparison between multiple groups and further comparison between two groups.The chi-square test was used for comparison of categorical data between groups.The multivariate logistic regression analysis was used to identify the influencing factors for the prognosis of HBV-ACLF patients.The receiver operating characteristic(ROC)curve was plotted for AFP and PAB to determine their cut-off values.The Kaplan-Meier method was used to plot survival curves,and the Log-rank test was used for comparison.Results Compared with the death group,the survival group had significantly higher levels of hemoglobin(Hb),PAB,AFP,and platelet count(PLT)(all P<0.05)and significantly lower age,total bilirubin(TBil),white blood cell count(WBC),cystatin,creatinine,urea,international normalized ratio(INR),Model for End-Stage Liver Disease(MELD)score,proportion of patients with Child-Pugh class C,and incidence rates of ascites and hepatic encephalopathy(all P<0.05).The multivariate logistic regression analysis showed that PAB(odds ratio[OR]=0.985,95%confidence interval[CI]:0.972-0.998,P=0.024),AFP(OR=0.998,95%CI:0.996-1.000,P=0.028),PLT(OR=0.989,95%CI:0.982-0.996,P=0.003),age(OR=1.046,95%CI:1.018-1.075,P=0.001),TBil(OR=1.004,95%CI:1.002-1.006,P<0.001),and WBC(OR=1.237,95%CI:1.110-1.379,P<0.001)were independent influencing factors for 90-day prognosis in HBV-ACLF patients.According to the cut-off values of AFP and PAB on ROC curves,the patients were divided into group A with 102 patients(AFP≥73.19 ng/mL and PAB≥22.55 mg/L),group B with 170 patients(AFP≥73.19 ng/mL and PAB<22.55 mg/L;AFP<73.19 ng/mL and PAB≥22.55 mg/L),and group C with 99 patients(AFP<73.19 ng/mL and PAB<22.55 mg/L).There were significant differences between these three groups in age,Hb,INR,MELD score,and Child-Pugh class(all P<0.05).The Kaplan-Meier survival analysis showed that group A had a significantly higher 90-day cumulative survival rate than groups B and C(χ2=19.825,P<0.001).Conclusion AFP combined with PAB can better predict the 90-day prognosis of HBV-ACLF patients,and patients with high levels of AFP and PAB tend to have a lower mortality rate on day 90.

ObjectiveTo investigate the association of alpha-fetoprotein （AFP） and prealbumin （PAB） with the 90-day prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure （HBV-ACLF）， as well as the difference in 90-day prognosis between the patients with different levels of AFP and PAB. MethodsA total of 371 HBV-ACLF patients who were hospitalized in The General Hospital of Western Theater Command from January 2018 to January 2023 were enrolled， and according to the follow-up results on day 90 after discharge， they were divided into survival group with 216 patients and death group with 155 patients. The medical record system was used to collect general data， AFP， PAB， and other related laboratory markers. The t-test was used for comparison of normally distributed continuous data between two groups； a one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test was used for comparison between two groups. The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups， and the Kruskal-Wallis H test was used for comparison between multiple groups and further comparison between two groups. The chi-square test was used for comparison of categorical data between groups. The multivariate logistic regression analysis was used to identify the influencing factors for the prognosis of HBV-ACLF patients. The receiver operating characteristic （ROC） curve was plotted for AFP and PAB to determine their cut-off values. The Kaplan-Meier method was used to plot survival curves， and the Log-rank test was used for comparison. ResultsCompared with the death group， the survival group had significantly higher levels of hemoglobin （Hb）， PAB， AFP， and platelet count （PLT） （all P<0.05） and significantly lower age， total bilirubin （TBil）， white blood cell count （WBC）， cystatin， creatinine， urea， international normalized ratio （INR）， Model for End-Stage Liver Disease （MELD） score， proportion of patients with Child-Pugh class C， and incidence rates of ascites and hepatic encephalopathy （all P<0.05）. The multivariate logistic regression analysis showed that PAB （odds ratio ［OR］=0.985， 95% confidence interval ［CI］： 0.972‍ ‍—‍ ‍0.998， P=0.024）， AFP （OR=0.998， 95%CI： 0.996‍ ‍—‍ ‍1.000， P=0.028）， PLT （OR=0.989， 95%CI： 0.982‍ ‍—‍ ‍0.996， P=0.003）， age （OR=1.046， 95%CI： 1.018‍ ‍—‍ ‍1.075， P=0.001）， TBil （OR=1.004， 95%CI： 1.002‍ ‍—‍ ‍1.006， P<0.001）， and WBC （OR=1.237， 95%CI： 1.110‍ ‍—‍ ‍1.379， P<0.001） were independent influencing factors for 90-day prognosis in HBV-ACLF patients. According to the cut-off values of AFP and PAB on ROC curves， the patients were divided into group A with 102 patients （AFP≥73.19 ng/mL and PAB≥22.55 mg/L）， group B with 170 patients （AFP≥73.19 ng/mL and PAB<22.55 mg/L； AFP<73.19 ng/mL and PAB≥22.55 mg/L）， and group C with 99 patients （AFP<73.19 ng/mL and PAB<22.55 mg/L）. There were significant differences between these three groups in age， Hb， INR， MELD score， and Child-Pugh class （all P<0.05）. The Kaplan-Meier survival analysis showed that group A had a significantly higher 90-day cumulative survival rate than groups B and C （χ²=19.825， P<0.001）. ConclusionAFP combined with PAB can better predict the 90-day prognosis of HBV-ACLF patients， and patients with high levels of AFP and PAB tend to have a lower mortality rate on day 90.

Objective:To explore the predictive value of changes in prealbumin for the prognosis of patients with hepatitis B virus-associated acute-on-chronic liver failure (HBV-ACLF) after artificial liver treatment.Methods:From January 1, 2018 to December 31, 2021, the clinical data (including prealbumin, platelet count, lymphocyte count, alanine transaminase (ALT), etc.) of 87 patients with HBV-ACLF who received artificial liver treatment at the Department of Gastroenterology of the General Hospital of Western Theater Command PLA were retrospectively collected. The 90-day survival status of all the patients was followed up, and the patients were divided into the survival group and the mortality group according to the survival status. The clinical characteristics and the changes of prealbumin on day 1 to 3, day 3 to 7, and day 1 to 7 after artificial liver treatment were compared between the 2 groups. Multivariate logistic regression analysis was used to analyze the independent influencing factors of the 90-day prognosis of HBV-ACLF patients after artificial liver treatment, and the nomogram prediction model was established and the receiver operating characteristic curve (ROC) was drawn to assess the area under the curve (AUC). Hosmer-Lemeshow goodness-of-fit test, calibration curve and clinical decision curve were performed to evaluate the goodness of fit, consistency and clinical value of the prediction model. Paired t-test and Mann-Whitney U test were used for statistical analysis. Results:There were 69 cases enrolled into the survival group, and 18 cases enrolled into the mortality group. The levels of albumin, prealbumin, platelet count, lymphocyte count, and ALT before treatment, and the level of prealbumin at the 3rd day after treatment of the survival group were all higher than those of the mortality group (32.5 (30.6, 35.2) g/L vs. 29.4 (27.6, 32.3) g/L, 66.0 (52.5, 81.5) mg/L vs. 56.5 (39.2, 65.0) mg/L, 103.0 (72.5, 145.0)×10 9/L vs. 63.5 (40.0, 92.5)×10 9/L, 1.1 (0.8, 1.4)×10 9/L vs. 0.9 (0.5, 1.1)×10 9/L, (514.7±86.4) U/L vs. (328.2±93.4) U/L, 90.0 (69.5, 102.5) mg/L vs.68.5(60.0, 75.8) mg/L), and the age, the level of total bilirubin, international normalized ratio, and prothrombin time before treatment of the survival group were all lower than those of the mortality group (48.0 (42.0, 57.0) years old vs. 48.5 (47.0, 56.0) years old, 323.9 (261.2, 409.2) μmol/L vs. 452.2 (405.8, 510.8) μmol/L, 1.5 (1.3, 1.9) vs. 1.9 (1.4, 2.1), 17.3 (14.6, 20.8) s vs. 21.4 (16.6, 23.2) s), and the differences were statistically significant ( Z=-3.38, -2.87, -2.38 and -2.01, t=2.39, Z=-4.11, 3.00, 3.64, 2.18 and 2.37; all P<0.05). The change of prealbumin on day 1 to 3 after treatment in the mortality group was greater than that in the survival group (-0.182 (-0.321, -0.026) vs. -0.043 (-0.133, 0.093)), and the difference was statistically significant ( Z=-3.42, P=0.001). The results of multivariate logistic regression analysis showed that the age, total bilirubin before treatment, and the change of prealbumin on day 1 to 3 after treatment were independent influencing factors for the 90-day prognosis in HBV-ACLF patients after artificial liver treatment (all P<0.05), and the nomogram model was established based on the above 3 factors. The results of ROC analysis showed that the AUC of the prediction model was 0.933 (95% confidence interval: 0.866 to 1.000, P<0.001), with a sensitivity of 0.933 and a specificity of 0.825. The results of the Hosmer-Lemeshow goodness-of-fit test showed that the prediction model had a good fit( P=0.700). The results of calibration curve analysis indicated that the actual curve of the prediction model was close to the calibration curve, with an average absolute error of 0.034, the consistency between the predicted probability and the actual probability was good. The clinical decision curve analysis suggested that the prediction model had significant clinical benefits. Conclusions:The changes of prealbumin after artificial liver treatment in HBV-ACLF patients can reflect the recovery of liver function. The nomogram prediction model based on the change of prealbumin on day 1 to 3 after treatment, age, and total bilirubin before treatment can better predict the 90-day prognosis of HBV-ACLF patients after artificial liver treatment.

Objective To analyze the spatial distribution pattern of potential suitable habitats and the influencing factors of habitat spatial differentiation of Gastrodiae Rhizoma under current climate conditions.Methods Based on 137 distribution records of Gastrodiae Rhizoma sourced from the Global Biodiversity Information Facility and 104 environmental variables acquired from the WorldClim dataset,a predictive model for the potential suitable habitat of Gastrodiae Rhizoma was developed using the MaxEnt model.The geodetector was applied to quantitatively analyze the environmental factors influencing the spatial heterogeneity of the suitable habitats.Subsequently,an overlay analysis with land cover types was conducted to obtain the distribution characteristics of forest land and cultivated land in the potential suitable habitats.Results Under current climate conditions,key environmental factors affecting the distribution of Gastrodiae Rhizoma included precipitation in July,average temperature in the coldest quarter,precipitation in the warmest quarter,water vapor pressure in September,altitude,and solar radiation in December.The potential geographical distribution range of Gastrodiae Rhizoma was 1.64×106 km2.Considering land cover types,the actual potential suitable area for Gastrodiae Rhizoma was 1.33×106 km2,of which the forest land area was 8.56×105 km2 and the cultivated land area was 4.74×105 km2.The highly suitable forest areas were mainly located within the provinces of Guizhou,Sichuan,Shaanxi,Hubei,Hunan and Gansu.The cultivated land suitable areas are mainly located within the provinces of Guizhou,Sichuan,Yunnan,Shaanxi and Hubei.Conclusion The highly suitable habitats of Gastrodiae Rhizoma are mainly located in provinces such as Guizhou,Sichuan,Shaanxi and Hubei,and are affected by factors such as solar radiation,water vapor pressure,temperature and precipitation.The research results can provide reference for the protection of wild Gastrodiae Rhizoma resources,artificial nurturing and optimal selection of ecological planting areas.